Triple

T22010251
Position Surface form Disambiguated ID Type / Status
Subject Campanian plain E543554 entity
Predicate hasMajorCity P316 FINISHED
Object Scisciano
Scisciano is a small Italian town in the Campania region, situated in the fertile plain near Naples.
E1514962 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Scisciano | Statement: [Campanian plain, hasMajorCity, Scisciano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scisciano
Context triple: [Campanian plain, hasMajorCity, Scisciano]
  • A. Petrosino
    Petrosino is a small coastal town and comune in western Sicily, Italy, known for its agricultural production and seaside location near Marsala.
  • B. Ginosa
    Ginosa is a town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian coast.
  • C. Casaccia
    Casaccia is a small Swiss village in the Bregaglia Valley of the canton of Graubünden, situated near the Maloja Pass in the southeastern Alps.
  • D. Cataldo
    Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
  • E. Partinico
    Partinico is a town in the Metropolitan City of Palermo in Sicily, Italy, known for its agricultural production and traditional Sicilian character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Scisciano
Triple: [Campanian plain, hasMajorCity, Scisciano]
Generated description
Scisciano is a small Italian town in the Campania region, situated in the fertile plain near Naples.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Scisciano
Target entity description: Scisciano is a small Italian town in the Campania region, situated in the fertile plain near Naples.
  • A. Petrosino
    Petrosino is a small coastal town and comune in western Sicily, Italy, known for its agricultural production and seaside location near Marsala.
  • B. Ginosa
    Ginosa is a town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian coast.
  • C. Casaccia
    Casaccia is a small Swiss village in the Bregaglia Valley of the canton of Graubünden, situated near the Maloja Pass in the southeastern Alps.
  • D. Cataldo
    Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
  • E. Partinico
    Partinico is a town in the Metropolitan City of Palermo in Sicily, Italy, known for its agricultural production and traditional Sicilian character.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a4338c8190836074d21bfbaf78 completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b6216fc8190a6e2166799ce1b25 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c93d5708190aeb79bdf64ac1bf0 completed May 18, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7d06cb0c819093c960f71861ede8 completed May 18, 2026, 2:44 a.m.
Created at: April 16, 2026, 8:22 p.m.